In this study based on the historical statistics of deposits of a private bank in four different categories , the purpose is to estimate the optimal share of the bank's quadrilateral deposits with the aim of minimizing the interest paid on these deposits and observing t More
In this study based on the historical statistics of deposits of a private bank in four different categories , the purpose is to estimate the optimal share of the bank's quadrilateral deposits with the aim of minimizing the interest paid on these deposits and observing the limit of the bank's deposit matrix within the framework of the bank's upstream documents. To solve this optimization, optimization algorithms in Matlab Package have been used due to the nonlinear objective function. Initially, the results and data prediction for each of the bank deposits are based on previous data and using machine learning and regression methods in the relevant section. Then, by constructing the objective function and constraints and inserting the bank deposit and deposit data, the optimal deposit share is extracted using the internal point method. The results show that long-term stable sensitive deposit with expensive and then unstable current deposit sensitive to cheap business have the largest share in total bank deposits, which should be considered in the planning of bank deposits.
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The recent challenge for organizations in new workplace is to focus on the productivity of work practices in the organization. Since employees are considered as the main intangible resource of the organization, paying attention to the optimal use of modern working pract More
The recent challenge for organizations in new workplace is to focus on the productivity of work practices in the organization. Since employees are considered as the main intangible resource of the organization, paying attention to the optimal use of modern working practices can reduce the risk of responding to external stimuli. It can ensure the productivity of human resources in achieving the goals and improving the performance of the organization while achieving the internal fit of the system components. In the present study, with a method based on nonlinear modeling, it is possible to optimize an array of native components and their dimensions as black boxes between teamwork and organizational performance, according to two factors: adequacy and complexity.By evaluating the views of more than 80 human resources experts, out of 16,383 combinations, the optimal array with the most effective role of the components of work conscience, spirit of cooperation and social adjustment and empowerment in the relationship between teamwork and performance of the studied organizations was introduced. By examining the ideal error composite statistics index, the elimination of the dimensions of "group and social relations" and "control of organizational decisions" from the last two components, respectively, can be considered as the optimization factor of the array.
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In this article, we investigate different control methods and control input disturbance removal in the two-link flexible robot. For this purpose, we use the linear feedback control method to control the trajectory tracking of the robot's angle with a nonlinear mode More
In this article, we investigate different control methods and control input disturbance removal in the two-link flexible robot. For this purpose, we use the linear feedback control method to control the trajectory tracking of the robot's angle with a nonlinear model by reducing the effects of disturbances in the control signal. The main contribiution of this paper is disturbance rejection that effect on performance of robot. In the end, by analyzing and comparing the obtained results, the best method is selected to control and eliminate the control input disturbance in the flexible two-link robot. To analyze the results of this research, MATLAB software and the system simulation are performed and according to the desired trajectory for the robot arms, the optimum control input for the system is obtained. Based on the results, the proposed control structure controls the model property without overshooting and by considering the saturation limit of input control.
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In this paper, Blood Glucose control in type 1 diabetic patients in the presence of structured and unstructured uncertainties is studied. In order to increase the effectiveness of the proposed control approach, assumed that all the dynamics describing the regulation of More
In this paper, Blood Glucose control in type 1 diabetic patients in the presence of structured and unstructured uncertainties is studied. In order to increase the effectiveness of the proposed control approach, assumed that all the dynamics describing the regulation of Blood Glucose in type 1 diabetic patients are completely unknown. Based on the fuzzy approximation function, which is equipped with the adaptive algorithm and employing the approach of reducing the number of adaptive fuzzy parameters, the unknown dynamics of the Bergman model approximated. Then, based on the feedback linearization control approach and robust adaptive compensator, the design of feedback linearization robust fuzzy controller to regulate Blood Glucose in type 1 diabetic patients in the presence of meal is studied for the first time. Using Lyapunov theory, it is shown that all signals of the closed-loop system are uniformly ultimately bounded and the Blood Glucose of diabetic patients converges to the neighborhood of the desired value. Finally, the simulation results show a good controller performance in reducing effect of the meal disturbance, and robustness against uncertain dynamics and meal estimation errors. Moreover, in comparison with some existing results, a good performance of the introduced controller in controlling Blood Glucose of diabetic patients (i.e., keeping Blood Glucose in allowed range 70-120 mg/dl) validated.
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